Technology, Data & the Future of Work Assessment Guidance 2025-26
Technology, Data & the Future of Work
ASSESSMENT VIDEO GUIDANCE
Task – 3,000 word written report
Based on the OECD data available at the link provided you should: OECD data
Produce a written report within Word document that addresses the 4 points on the brief.
Total Marks =100
Locating the data
OECD.AI
Organisation for Economic Co-operation and Development, is an international organization of 38 member countries that works to build stronger, fairer, and more sustainable societies by promoting better policies.
38 countries span the world, from North America and South America to Europe and Asia-Pacific
Brazil, China, India, Indonesia, and South Africa are NOT members, but are OECD Key Partners
Point 1 on brief (30 marks)
Provide a summary of what is happening in relation to:
- Career transitions into AI occupations (2019 -2024)
- Talent Concentration
Within 4 countries of your choice.
Note: You will find this data under AI Jobs and Skills.
Include some screen shots/charts in relation to point 1.
Be selective about what goes in your main report, and what you might add in an Appendix.
AI Jobs & Skills Tab
Point 2 (20 marks)
Evaluate the robustness of this data for country level and sector/organisational level decision making.
Consider
- What does robust data look like? (is this a credible source?) How easy is it to obtain data?
- What potential flaws/biases might there be?
Point 3 (30 marks)
Critically evaluate the drivers of such career transitions, and what role HR can play in relation to the potential impact of these changes on individual working lives across different generations.
Consider
So, in point 1, you looked at data related to transition in AI careers.
What is driving those transitions in the 4 different countries? (can look for academic articles based in other countries too, as a guide).
What does that people for different age groups/generations – skills, jobs, training, life changes. HR role.
Point 4 (20 marks)
Discuss the way in which AI is impacting on hybrid working of different kinds (working from home/anywhere; Human-AI teams).
Consider
What different types of hybrid working exist?
How AI may be facilitating, enhancing or denigrating such work?
Structure of Report:
Raise questions in taught sessions
